[ { "id": "authors:ewmwp-gje50", "collection": "authors", "collection_id": "ewmwp-gje50", "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20181108-155745164", "type": "book_section", "title": "The InSAR Scientific Computing Environment 3.0: A Flexible Framework for NISAR Operational and User-Led Science Processing", "book_title": "2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2018)", "author": [ { "family_name": "Rosen", "given_name": "Paul A.", "clpid": "Rosen-P-A" }, { "family_name": "Gurrola", "given_name": "Eric M.", "clpid": "Gurrola-E-M" }, { "family_name": "Agram", "given_name": "Piyush", "clpid": "Agram-P-S" }, { "family_name": "Cohen", "given_name": "Joshua", "clpid": "Cohen-J" }, { "family_name": "Lavalle", "given_name": "Marco", "clpid": "Lavalle-M" }, { "family_name": "Riel", "given_name": "Bryan V.", "orcid": "0000-0003-1940-3910", "clpid": "Riel-B" }, { "family_name": "Fattahi", "given_name": "Heresh", "orcid": "0000-0001-6926-4387", "clpid": "Fattahi-H" }, { "family_name": "Aivazis", "given_name": "Michael A. G.", "clpid": "Aivazis-M-A-G" }, { "family_name": "Simons", "given_name": "Mark", "orcid": "0000-0003-1412-6395", "clpid": "Simons-M" }, { "family_name": "Buckley", "given_name": "Sean M.", "clpid": "Buckley-S-M" } ], "abstract": "The InSAR Scientific Computing Environment (ISCE) was first developed under the NASA Advanced Information Systems Technology as a flexible, extensible object-oriented framework for Interferometric Synthetic Aperture Radar (InSAR) processing. The ISCE framework uses Python 3 at the workflow level, controlling modules of compiled code for functional processing, and managing inputs, outputs, and other flow control services. The currently released version, called ISCE 2.1, is distributed to the research community through the Western North America InSAR Consortium under a research license. The ISCE team is working on the next generation of the code in order to prepare for the NASA-ISRO SAR (NISAR) mission operational processing. Innovations in this code include augmentation or conversion of the custom Python framework elements in ISCE with the Pyre framework, new workflows for interferometric and polarimetric stack processing, a more intuitive and graphically based user interface, and flow control for hybrid computing environments including CPU/GPU clusters, logging and error tracking facilities, and new more efficient computational modules that exploit graphical processor units (GPUs) when available. The ISCE 3.0 framework is designed to work in an operational environment as well as on a single user's laptop or compute cluster, with services to discover capabilities and scale computations accordingly.", "doi": "10.1109/IGARSS.2018.8517504", "isbn": "978-1-5386-7150-4", "publisher": "IEEE", "place_of_publication": "Piscataway, NJ", "publication_date": "2018-07", "pages": "4897-4900" }, { "id": "authors:6srgx-sgn93", "collection": "authors", "collection_id": "6srgx-sgn93", "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20161115-084858641", "type": "book_section", "title": "Recent rapid disaster response products derived from COSMO-Skymed synthetic aperture radar data", "book_title": "2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)", "author": [ { "family_name": "Yun", "given_name": "Sang-Ho", "orcid": "0000-0001-6952-6156", "clpid": "Yun-Sang-Ho" }, { "family_name": "Owen", "given_name": "Susan", "clpid": "Owen-S-E" }, { "family_name": "Webb", "given_name": "Frank", "clpid": "Webb-F-H" }, { "family_name": "Hua", "given_name": "Hook", "clpid": "Hua-Hook" }, { "family_name": "Milillo", "given_name": "Pietro", "orcid": "0000-0002-1171-3976", "clpid": "Milillo-P" }, { "family_name": "Fielding", "given_name": "Eric", "orcid": "0000-0002-6648-8067", "clpid": "Fielding-E-J" }, { "family_name": "Simons", "given_name": "Mark", "orcid": "0000-0003-1412-6395", "clpid": "Simons-M" }, { "family_name": "Agram", "given_name": "Piyush", "clpid": "Agram-P-S" }, { "family_name": "Liang", "given_name": "Cunren", "orcid": "0000-0003-3938-426X", "clpid": "Liang-Cunren" }, { "family_name": "Moore", "given_name": "Angelyn", "orcid": "0000-0003-1715-6338", "clpid": "Moore-A-W" }, { "family_name": "Sacco", "given_name": "Patrizia", "clpid": "Sacco-P" }, { "family_name": "Gurrola", "given_name": "Eric", "clpid": "Gurrola-E" }, { "family_name": "Manipon", "given_name": "Gerald", "clpid": "Manipon-G" }, { "family_name": "Rosen", "given_name": "Paul", "clpid": "Rosen-P-A" }, { "family_name": "Lundgren", "given_name": "Paul", "orcid": "0000-0002-6771-2876", "clpid": "Lundgren-P" }, { "family_name": "Coletta", "given_name": "Alessandro", "clpid": "Coletta-A" } ], "abstract": "The April 25, 2015 M7.8 Gorkha earthquake caused more than 8,000 fatalities and widespread building damage in central Nepal. Four days after the earthquake, the Italian Space Agency's (ASI's) COSMO-SkyMed Synthetic Aperture Radar (SAR) satellite acquired data over Kathmandu area. Nine days after the earthquake, the Japan Aerospace Exploration Agency's (JAXA's) ALOS-2 SAR satellite covered larger area. Using these radar observations, we rapidly produced damage proxy maps derived from temporal changes in Interferometric SAR (InSAR) coherence. These maps were qualitatively validated through comparison with independent damage analyses by National Geospatial-Intelligence Agency (NGA) and the UNITAR's (United Nations Institute for Training and Research's) Operational Satellite Applications Programme (UNOSAT), and based on our own visual inspection of DigitalGlobe's WorldView optical pre- vs. post-event imagery. Our maps were quickly released to responding agencies and the public, and used for damage assessment, determining inspection/imaging priorities, and reconnaissance fieldwork.", "doi": "10.1109/IGARSS.2016.7729533", "isbn": "978-1-5090-3332-4", "publisher": "IEEE", "place_of_publication": "Piscataway, NJ", "publication_date": "2016-07", "pages": "2066-2069" }, { "id": "authors:zdcvq-jpc60", "collection": "authors", "collection_id": "zdcvq-jpc60", "cite_using_url": "https://resolver.caltech.edu/CaltechAUTHORS:20130612-140139779", "type": "book_section", "title": "Interferometric Synthetic Aperture Radar Geodesy", "book_title": "Treatise on Geophysics - Geodesy", "author": [ { "family_name": "Simons", "given_name": "M.", "orcid": "0000-0003-1412-6395", "clpid": "Simons-M" }, { "family_name": "Rosen", "given_name": "P. A.", "clpid": "Rosen-P-A" } ], "contributor": [ { "family_name": "Schubert", "given_name": "Gerald", "clpid": "Schubert-G" } ], "abstract": "Satellite-based interferometric synthetic aperture radar (InSAR) provides a synoptic high spatial resolution perspective of Earth's deforming surface, permitting one to view large areas quickly and efficiently. We review basic InSAR theory for geodetic applications and attempt to provide an overview of what processing and analysis schemes are currently used and a glimpse of what the future may hold. As part of this discussion, we present a biased view of what constitutes best practices for use of InSAR observations in geodetic modeling. Finally, we provide a basic primer on the ties between different mission design parameters and their relationship to the character of the resulting observations.", "doi": "10.1016/B978-044452748-6.00059-6", "isbn": "9780444527486", "publisher": "Elsevier", "place_of_publication": "Amsterdam", "publication_date": "2007", "pages": "391-446" } ]